GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data

Abstract Traditional techniqueset identification, we developed GraphDTI, a robust machine learning framework integrating the molecular-level information on drugs, proteins, and binding sites with the system-level information on gene expression and protein-protein interactions. In order to properly e...

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Bibliographic Details
Main Authors: Guannan Liu, Manali Singha, Limeng Pu, Prasanga Neupane, Joseph Feinstein, Hsiao-Chun Wu, J. Ramanujam, Michal Brylinski
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Journal of Cheminformatics
Subjects:
Drug–target interactions
Protein–protein interaction network
Drug perturbed gene expression
Feature selection
Multi-layer perceptron
Machine learning
Online Access:https://doi.org/10.1186/s13321-021-00540-0

Internet

https://doi.org/10.1186/s13321-021-00540-0

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